methodology

Human Evaluation

Human evaluation is a research and development methodology that involves using human assessors to judge the quality, performance, or characteristics of a system, product, or process, particularly in fields like artificial intelligence, user experience, and software testing. It is often used to complement automated metrics by providing subjective, nuanced feedback that captures real-world usability, relevance, or accuracy. This approach is crucial for validating outputs in areas such as natural language processing, machine learning models, and human-computer interaction.

Also known as: Human Assessment, Manual Evaluation, Subjective Evaluation, User Testing, Human-in-the-Loop Evaluation

🧊Why learn Human Evaluation?

Developers should learn and use human evaluation when building systems where automated metrics are insufficient or misleading, such as in evaluating the fluency of generated text, the usability of a user interface, or the fairness of an AI model. It is essential in research and development phases to ensure that outputs align with human expectations and ethical standards, particularly in applications like chatbots, content generation, and recommendation systems. This methodology helps mitigate biases and improve user satisfaction by incorporating direct human feedback into the iterative design and testing process.